README.md

LaTeX Formula Bucket Indices (Train/Test Split)

Overview

This dataset contains bucket indices for the LaTeX formulas dataset, split into train and test sets.

Source Dataset: OleehyO/latex-formulas Total Samples: 552,340 Split Ratio: 80% train / 20% test Random Seed: 42

Split Statistics

• Train Set: 441,869 samples (80.0%)
• Test Set: 110,471 samples (20.0%)

Bucket Distribution

Train Set

• 2line: 73,316 samples
• long: 31,543 samples
• long_2line: 23,364 samples
• long_matrix: 652 samples
• long_single_line: 7,527 samples
• matrix: 6,126 samples
• medium: 264,458 samples
• medium_2line: 47,114 samples
• medium_matrix: 4,437 samples
• medium_single_line: 212,907 samples
• short: 145,868 samples
• short_2line: 2,838 samples
• short_matrix: 1,037 samples
• short_single_line: 141,993 samples
• single_line: 362,427 samples

Test Set

• 2line: 18,330 samples
• long: 7,886 samples
• long_2line: 5,841 samples
• long_matrix: 163 samples
• long_single_line: 1,882 samples
• matrix: 1,533 samples
• medium: 66,116 samples
• medium_2line: 11,779 samples
• medium_matrix: 1,110 samples
• medium_single_line: 53,227 samples
• short: 36,469 samples
• short_2line: 710 samples
• short_matrix: 260 samples
• short_single_line: 35,499 samples
• single_line: 90,608 samples

Files

• indices/indices_*_train.json - Training set indices per bucket
• indices/indices_*_test.json - Test set indices per bucket
• indices/split_mapping.json - Complete train/test split mapping

Usage

import json
from huggingface_hub import hf_hub_download

# Download specific bucket
filepath = hf_hub_download(
    repo_id="wulanbhai/subset",
    filename="indices/indices_short_train.json",
    repo_type="dataset"
)

with open(filepath, 'r') as f:
    indices = json.load(f)

print(f"Loaded {len(indices):,} training indices for 'short' bucket")

Bucket Definitions

• Length buckets:

  • short: ≤50 tokens
  • medium: 51-150 tokens
  • long: >150 tokens

• Structure buckets:

  • single_line: Single-line formulas
  • 2line: Multi-line formulas (using \\)
  • matrix: Matrix structures

• Combined buckets: Intersection of length × structure (e.g., short_single_line)

Important Notes

⚠️ For Fair Comparison:

• Use train set for model training/fine-tuning
• Use test set for evaluation ONLY
• Never train on test set!
• Never test on train set!

✅ Stratified Split:

• Each bucket maintains 80%/20% ratio
• Distribution preserved across all buckets

Citation

If you use these indices, please cite the original dataset:

@dataset{latex_formulas,
  author = {OleehyO},
  title = {LaTeX Formulas Dataset},
  year = {2024},
  url = {https://huggingface.co/datasets/OleehyO/latex-formulas}
}

License

Indices only (no original data redistributed).